Вернуться к Improving your statistical inferences

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Оценки: 725

## О курсе

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework. All videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"...

## Лучшие рецензии

MS

13 мая 2021 г.

Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.

PP

28 июня 2020 г.

Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.

Фильтр по:

## 176–200 из 236 отзывов о курсе Improving your statistical inferences

автор: Md. M I C

3 янв. 2017 г.

It is good indeed. Such course is needed more on Coursera.

автор: Marco Z

21 июля 2021 г.

I would recommend this course to everyone starting a PhD.

автор: Tiago L

24 авг. 2020 г.

Magnific! Best statistics course I've ever seen anywhere.

автор: Fernando B

3 сент. 2021 г.

The best course on the subject I have seen in my life!

автор: Kıvanç K

20 авг. 2020 г.

Excellent lecture, every social scientist should take!

автор: Shringi

24 апр. 2020 г.

A must take course for any advance statistics student.

автор: Tomás d l R M

8 нояб. 2019 г.

Amazing course! Very useful to researchers in any area

автор: Heidi M

30 дек. 2016 г.

fun and very informative course - thank you very much!

автор: Justyna J Z

29 апр. 2018 г.

Very engaging, I love the way this course is taught!

автор: Jesús D Z M

12 июня 2017 г.

very, very great course about inferential statistics

автор: Bruno V

19 февр. 2019 г.

Thank you daniel, very educational, I learned a lot

автор: Peter K

1 мар. 2019 г.

Excellent course. I learned a lot about inference.

автор: CRISTIAN C L V

12 июня 2020 г.

Un excelente curso guiado por un muy buen maestro

автор: Miruš J

20 нояб. 2020 г.

The most useful statical course I took so far.

автор: Reuben A

17 апр. 2019 г.

The best statistics course I have ever taken

автор: Leon W

26 нояб. 2016 г.

Great course, much appreciated. Thanks a lot

автор: Brendan P

21 окт. 2017 г.

Excellent content and delivery throughout.

автор: Siméon C

6 дек. 2020 г.

It was just great ! Thank you very much !

автор: MASCIANTONIO

8 июня 2020 г.

This course is very useful! I recommend.

автор: Rossella M

25 мар. 2020 г.

Really useful and interesting course!

автор: JOHN Q

4 июня 2017 г.

Interesting Course. Thanks so much!

автор: JUNAID A

29 июня 2021 г.

One of the best courses on Coursera.

автор: Eleonora N

17 июля 2020 г.

Just great. Very insightful course.

автор: Farid

12 мар. 2017 г.

Exactly what i needed. But now it

автор: Maureen M

20 мар. 2019 г.

The best MOOC in statistis ever!